Retina recognition has the advantages of high stability and security. Because low resolution retina image obtained by traditional fundus camera is difficult to be coded and matched, retina identification recognition is not widely applied. High resolution capillary vessel image is acquired by adaptive optics high resolution retina imaging technique, and the texture of image is extracted by Gabor filters after being normalized and denoised. The character matching is completed by Hamming distance. Experimental results show that the proposed method can accurately identify different samples and is feasible. Retina capillary vessel identification recognition extends the application of adaptive optics high resolution retina imaging technique and has a potential application in some important situation.